Text Data Mining: Theory and Methods

2008/01/01 by Jeffrey Solka, Jeffrey L. Solka · 1 voice
Computer Science · #Data Mining Algorithms and Applications #Sentiment Analysis and Opinion Mining #Text and Document Classification Technologies #cs.IR #stat.CO #stat.ML

paper · pdf · doi:10.1214/07-ss016

openalex publication_date 2008/01/01 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28

Abstract

This paper provides the reader with a very brief introduction to some of the theory and methods of text data mining. The intent of this article is to introduce the reader to some of the current methodologies that are employed within this discipline area while at the same time making the reader aware of some of the interesting challenges that remain to be solved within the area. Finally, the articles serves as a very rudimentary tutorial on some of techniques while also providing the reader with a list of references for additional study.

Citations

• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

Discussions

• Text Data Mining: Theory and Methods [hn, 4 points, 0 comments]

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